The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …

The mysteries of deep-sea ecosystems can be unlocked to reveal new sources, for
developing medical drugs, food and energy resources, and products of renewable energy …

Underwater images suffer from color casts and low contrast due to wavelength-and distance-
dependent attenuation and scattering. To solve these two degradation issues, we present an …

This paper develops a Bayesian retinex algorithm for enhancing single underwater image
with multiorder gradient priors of reflectance and illumination. First, a simple yet effective …

Underwater image enhancement has attracted much attention due to the rise of marine
resource development in recent years. Benefit from the powerful representation capabilities …

Underwater captured images are usually degraded by low contrast, hazy, and blurry due to
absorbing and scattering, which limits their analyses and applications. To address these …

Due to the unavailability of large-scale underwater depth image datasets and ill-posed
problems, underwater single-image depth prediction is a challenging task. An unambiguous …

Underwater captured images often suffer from color cast and low visibility due to light is
scattered and absorbed while it traveling in water. In this paper, we proposed a novel …

This letter introduces an underwater image enhancement method to handle low contrast and
color cast of underwater images. Firstly, with the help of hierarchical searching technique …

Current state-of-the-art object tracking methods have largely benefited from the public
availability of numerous benchmark datasets. However, the focus has been on open-air …